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Figure : The Container Terminal Subsystems

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Presentation on theme: "Figure : The Container Terminal Subsystems"— Presentation transcript:

1

2 Figure : The Container Terminal Subsystems
(Source: permission from Justin Nortillo, Maher Terminals Logistic Systems, Inc., US) 2. Transfer 3. Storage 4. Delivery Receipt 1. Ship-to-Shore Page 6 / Fig 1

3 Port A Port B Port C Port D Port 1 Port 2 Port 3 Port 4 Page 8 / Fig 2

4 Page 9 / Fig 3 Port 1 Port A Port B Port 2 Port C MAIN LINE SERVICE
De Monie International Port Consulting MAIN LINE SERVICE FEEDER SERVICES Port A Port B Port C Port D Port 1 Port 2 Port 3 Port 4 Page 9 / Fig 3

5 Page 27 / Fig 1

6 Page 30/31 Fig 3, 4, 5

7 Page 34 / Fig 7 CT subsystems Decision Types Time Frame Typical Issues
Ship-to-Shore Storage Transfer Delivery/Receipt Planning Controlling Strategic Tactical Operational CT subsystems Decision Types Time Frame Typical Issues Terminal location, Terminal size, and resource type Allocation of resources, size of workforce, and “rules of thumb” Daily scheduling of jobs, process management, scheduling of workers Page 34 / Fig 7

8 Page 48 / Fig 10

9 Page 58 / Fig 11

10 Page 82 / Fig 1 & 2

11 commercial port community
Economic/ commercial port community Customs CT operator Port Authority Ship Agent Shipping line/ alliance Inland Transport operator Container terminal community Freight Forwarders Legal firms Shippers Banks Public authorities Central or regional government Stevedore Page 107 /Fig 2

12 Page 131 / Fig 1 1. Ship-to- Shore 2.Transf er 3. Storage 4.Deliver-
Receipt Containers Page 131 / Fig 1

13 Management System Simulator
CT Simulator Management System Simulator Terminal Manager Ship Captain Stevedore cran crane Cranes S SC Port Captain actions observations Page 153 / Fig 1

14 <<agent>>
Create Ship <slot> Ship Request <Ship Properties> <Desired Serv. Time> <Manifest> Bay Plan (of Ship) <# Containers Out> <# Containers In> <Berth Positions of Bays in ship> <# Containers in Bay> <Container Properties> Call SC agents Crane Request(s) SC agent assigned SC agent States Operations Completed Crane Request <Avg. #of Cranes Needed> Berth Assignment <Berth Position> Free Berth & Cranes Berth & Crane Assignment <cranes assigned> <<agent>> Stevedore(s) -Crane Properties Terminal Manager -Quay Properties -Pre-Berth Spot Allocation -Crane Cost -Berth Schedule (dynamic) -Crane Availability -Berth Policy Crane(s) -Assigned SCs SC(s) -SC properties -Stack Positions Ship(S) -Ship Properties Manifest -# Containers Out -# Containers In -Container Types -Container Dest. -Shifting Factor -Est. Arrival time -Est. Depart time Port Captain -Sequence Policy Service Time Calculation <# Containers out> <# Containers in> <ETA> Berth Allocation Crane Needs Crane Bay Ship Un/loading Completed Sequencing Ship ‘Departs’ Page 154 / Fig 2

15 Operational Decisions Tactical/Strategic Decisions
QC Allocation SC Allocation Ship Arrival Load and Unloading Horizontal Transport Yard Stack/ Stack on Quay Operational Decisions Berth Tactical/Strategic Decisions Processes in Transhipment of Containers Sequencing Policy: - First In First Out - Highest Earnings First - Shortest Job First Positioning Policy: - Berth Closest to the Stack - Overall Time Shortening Stacking Policy: - Stack by Line - Stack by Destination Goals: - Efficient use of equipment - Reduce Distance Traveled - Service Ship’s Containers - Fast Turn-Around Time - Low Costs for Serving Ships Stack Page 170 / Fig 1

16 3 4 Yard Stacks with Yard Cranes (areas for storing containers) Yard Stacks with Yard Cranes (areas for storing containers) Page 211 / Fig 4 & 5

17 Page 219 / Fig 6

18 Page 223 /Fig 7

19 Page 238 / Fig 1 Sweden Information Transport Corridor Denmark
Economic/commercial port community Terminal operator Shipping line Inland Transport Container terminal community Freight Forwarders Shippers Karlshamn Transport Corridor Klaipeda Sweden Lithuania Poland Germany Denmark Customs Public authorities Central or Regional government Government Legal Authorities Information Page 238 / Fig 1

20 Assignment of Decision
Historical cooperation behaviour Transaction Costs Preference of Cooperation Freight Forwarders MAS Policy Rules (Subsidize or Tax) Influences the Environment Shipper Shippers (d) Input or Data d Transport Demands Inland Tranport providers Terminal Terminals Ship Lines Level 1 Level 2 Level 3 Government legal Authorities Transport Costs Assignment of Decision Weights by Each Agent send update αi Profit DCR Algorithm Resulting Governing Structures: Feedback contract vertical market Page 244 / Fig 2


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